4 papers
A Constrained Kuramoto Gradient-Flow System Can Perform High-Accuracy Finite-Time Inference
Yi Cheng, Zongli Lin
A central question in physical inference is whether strongly constrained dynamical systems can realize accurate input--output maps through their own finite-time evolution. We study…
Delayed Coupling Restores Ising Phase Dynamics in Physical Oscillator Networks
Yi Cheng, Liangtao Dai, Mircea R Stan +1
Oscillator-based Ising machines, in which the phases of coupled self-sustaining oscillators evolve toward decreasing an Ising Hamiltonian, are commonly interpreted as physical real…
Chirality of a Model as Directional Phase Shifts in Oscillator Networks
Yi Cheng, Zongli Lin
Chirality in a discrete spin interaction distinguishes clockwise from counterclockwise phase differences, but its manifestation in continuous nonlinear dynamics is unclear. W…
From Ising to Potts: Physics-inspired Potts machines of coupled oscillators for low-energy sampling and combinatorial optimization
Yi Cheng, Zongli Lin
The -state Potts model is a fundamental model in statistical physics that generalizes the Ising model and plays a key role in the study of phase transitions, critical phenomena,…